Epigenetics and methylation risk scores DOI
Kathleen C. Barnes

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Nov. 29, 2024

Language: Английский

HXAI-ML: A Hybrid Explainable Artificial Intelligence Based Machine Learning Model For Cardiovascular Heart Disease Detection DOI Creative Commons
Md. Alamin Talukder,

Amira Samy Talaat,

Mohsin Kazi

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104370 - 104370

Published: Feb. 1, 2025

Language: Английский

Citations

3

Epigenomic insights into common human disease pathology DOI Creative Commons
Christopher G. Bell

Cellular and Molecular Life Sciences, Journal Year: 2024, Volume and Issue: 81(1)

Published: April 11, 2024

Abstract The epigenome—the chemical modifications and chromatin-related packaging of the genome—enables same genetic template to be activated or repressed in different cellular settings. This multi-layered mechanism facilitates cell-type specific function by setting local sequence 3D interactive activity level. Gene transcription is further modulated through interplay with factors co-regulators. human body requires this epigenomic apparatus precisely installed throughout development then adequately maintained during lifespan. causal role epigenome pathology, beyond imprinting disorders tumour suppressor genes, was brought into spotlight large-scale sequencing projects identifying that mutations machinery genes could critical drivers both cancer developmental disorders. Abrogation providing new molecular insights pathogenesis. However, deciphering full breadth implications these changes remains challenging. Knowledge accruing regarding disease mechanisms clinical biomarkers, pathogenically relevant surrogate tissue analyses, respectively. Advances include consortia generated reference epigenomes, high-throughput DNA methylome association studies, as well ageing-related diseases from biological ‘clocks’ constructed machine learning algorithms. Also, 3rd-generation beginning disentangle complexity modification haplotypes. Cell-free methylation a biomarker has clear utility potential assess organ damage across many Finally, understanding aetiology brings it opportunity for exact therapeutic alteration CRISPR-activation inhibition.

Language: Английский

Citations

10

Insights on E1-like enzyme ATG7: functional regulation and relationships with aging-related diseases DOI Creative Commons
Jingwei Liu,

Yutong Xiao,

Liangzi Cao

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: March 29, 2024

Autophagy is a dynamic self-renovation biological process that maintains cell homeostasis and responsible for the quality control of proteins, organelles, energy metabolism. The E1-like ubiquitin-activating enzyme autophagy-related gene 7 (ATG7) critical factor initiates classic autophagy reactions by promoting formation extension autophagosome membranes. Recent studies have identified key functions ATG7 in regulating cycle, apoptosis, metabolism associated with occurrence development multiple diseases. This review summarizes how precisely programmed genetic, transcriptional, epigenetic modifications cells relationship between aging-related

Language: Английский

Citations

9

From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients DOI Creative Commons
Yusheng Guo,

Tianxiang Li,

Bingxin Gong

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 12(2)

Published: Nov. 13, 2024

Abstract With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a promising frontier. Radiogenomics is originally defined methodology associating gene expression information from high‐throughput technologies with imaging phenotypes. However, advancements medical imaging, omics technologies, and artificial intelligence, both concept application of have significantly broadened. In this review, history enumerated, related five basic workflows their applications across tumors, role AI radiogenomics, opportunities challenges tumor heterogeneity, immune microenvironment. The positron emission tomography multi‐omics studies also discussed. Finally, faced by clinical transformation, along future trends field

Language: Английский

Citations

4

Epigenetic upregulation of CLEC5A contributes to monocyte/macrophage dysfunction in coronary artery disease DOI

Daoxi Qi,

Fan Wang, Xiaokang Zhang

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142471 - 142471

Published: March 1, 2025

Language: Английский

Citations

0

Validation of an Integrated Genetic‐Epigenetic Test for the Assessment of Coronary Heart Disease DOI Creative Commons
Robert A. Philibert,

Timur Dogan,

Stacey Knight

et al.

Journal of the American Heart Association, Journal Year: 2023, Volume and Issue: 12(22)

Published: Nov. 20, 2023

Coronary heart disease (CHD) is the leading cause of death in world. Unfortunately, many key diagnostic tools for CHD are insensitive, invasive, and costly; require significant specialized infrastructure investments; do not provide information to guide postdiagnosis therapy. In prior work using data from Framingham Heart Study, we provided silico evidence that integrated genetic-epigenetic may a new avenue assessing CHD.

Language: Английский

Citations

10

Multi‐Omic Insight Into the Molecular Networks in the Pathogenesis of Coronary Artery Disease DOI Creative Commons

Qinghua Fang,

Hong-Dan Fan,

Qiaoqiao Li

et al.

Journal of the American Heart Association, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Background Genome‐wide association studies have revealed numerous loci associated with coronary artery disease (CAD). However, some potential causal/risk genes remain unidentified, and causal therapies are lacking. Methods Results We integrated multi‐omics data from gene methylation, expression, protein levels using summary data‐based Mendelian randomization colocalization analysis. Candidate were prioritized based on protein‐level associations, probability, links to methylation expression. Single‐cell RNA sequencing used assess differential expression in the arteries of patients CAD. TAGLN2 ( Transgelin 2 ), APOB Apolipoprotein B GIP Glucose‐dependent insulinotropic polypeptide ) identified as most strongly CAD, exhibiting significant association. Higher at specific Cytosine‐phosphate‐Guanine sites negatively correlated its a lower risk whereas higher circulating positively CAD (odds ratio,1.66 [95% CI, 1.32–2.08). These results suggest distinct regulatory mechanisms for . In contrast, showed positive associations risk, DHX58 DExH‐box helicase 58 SWAP70 Switch‐associated 70 decreased risk. Conclusions Our findings provide evidence suggesting that , This work provides novel insights into molecular highlights integrating uncover relationships cannot be fully captured by traditional genome‐wide studies.

Language: Английский

Citations

0

Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice DOI Creative Commons

Mingzhi Lin,

Jiuqi Guo,

Zhilin Gu

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 2, 2025

The global burden of cardiovascular diseases continues to rise, making their prevention, diagnosis and treatment increasingly critical. With advancements breakthroughs in omics technologies such as high-throughput sequencing, multi-omics approaches can offer a closer reflection the complex physiological pathological changes body from molecular perspective, providing new microscopic insights into research. However, due vast volume complexity data, accurately describing, utilising, translating these biomedical data demands substantial effort. Researchers clinicians are actively developing artificial intelligence (AI) methods for data-driven knowledge discovery causal inference using various data. These AI approaches, integrated with research, have shown promising outcomes studies. In this review, we outline integrating machine learning, one most successful applications AI, summarise representative models developed that leverage facilitate exploration underlying mechanisms clinical practice. Particular emphasis is placed on effectiveness extract potential information address current gaps. We discuss challenges opportunities routine diagnostic therapeutic practices anticipate future development novel wider application field diseases.

Language: Английский

Citations

0

Wearable photonic smart wristband for cardiorespiratory function assessment and biometric identification DOI Creative Commons
Wenbo Li,

Yukun Long,

Ying Yan

et al.

Opto-Electronic Advances, Journal Year: 2025, Volume and Issue: 0(0), P. 240254 - 240254

Published: Jan. 1, 2025

Language: Английский

Citations

0

DHCR24 in Tumor Diagnosis and Treatment: A Comprehensive Review DOI Creative Commons
Xin Fu, Zhaosong Wang

Technology in Cancer Research & Treatment, Journal Year: 2024, Volume and Issue: 23

Published: Jan. 1, 2024

As an important nutrient in the human body, cholesterol can not only provide structural components for body's cells, but also be transformed into a variety of active substances to regulate cell signaling pathways. synthase, DHCR24 participates regulatory processes body. The application tumor clinical diagnosis and treatment attracts much attention. This article reviews structure characteristics DHCR24, research on progression. We summarize possible mechanisms promoting progression through reactive oxygen species (ROS), p53, Ras PI3K-AKT Through our review, we hope more ideas reference value prevention treatment.

Language: Английский

Citations

3